Get insider transactions (regulatory insider filings for the US and several European markets) and, on Pro, the AI read plus institutional holdings for a stock.

Every tier (guest/free/pro) gets the filing facts: insider_buys and insider_sells over the window (echoed as window_days), transactions (the individual rows behind those counts, newest first, each with date/name/role/type/shares/price/value), summary (a one-line factual readout computed from those same rows -- counts, dollar totals, date range -- so it can never disagree with them), source/source_name (which filing feed was used), and updated_at (when the filings were last fetched).

Free/guest: a 90-day window (a larger days is capped at 90, see days_note), the 5 most recent rows (transactions_note says how many more there are), and pro_unlocks describing what Pro adds. No AI fields and no institutional holders.

Pro: days up to 365, up to 50 rows, plus signal (POSITIVE/NEGATIVE/ NEUTRAL etc.), signal_score (0-100, higher = stronger/more notable - the exact same field, formula, scale and bands as get_signals()'s signal_score) with signal_score_band, insider_signal/inst_signal, ai_commentary (a separately-generated AI narrative on its own refresh cadence, with ai_commentary_as_of - it can lag the transactions; trust summary/the rows if they disagree), top_holders (a union of multiple data sources, up to 15, each with name/shares/pct_held/sources/ share_counts_by_source - the last two show which source(s) contributed to a merged row and each one's own reported share count), holder_count_ divergence (null unless every matched holder disagrees by the same systemic multiplier across sources - e.g. an unrecorded reverse split - a signal top_holders.shares may be unreliable for this symbol), inst_ownership (0-100%), and total_holders. For informational purposes only. Not financial advice.